{
  "id": 9469578,
  "title": "Frozen Flows Forget: Diagnosing and Restoring Lost Motion in a Latent-flow World Model",
  "url": "https://urgent.news/2026/09/23/frozen-flows-forget-diagnosing-and-restoring-lost-motion-in-a-latent",
  "topic": "health",
  "section": "Health & Medicine",
  "published": "2026-09-23T17:17:02.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.28414v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Latent world models that integrate a flow in a frozen self supervised latent space train stably and cheaply, yet silently lose the property manipulation depends on most: motion. The pretrained flow never moves the manipulated object; retraining it with latent-only losses only trades stillness for teleport-like motion. We trace the failure to the training signal, not the representation:…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}